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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 6223
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    INDEX
    Explanations

    numerical values with specific formatting, such as percentages and measurements

    oai_token-act-pair · gpt-3.5-turbo

    scientific measurements and data related to experimental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alth
    -0.71
    krit
    -0.70
    rid
    -0.70
     Freak
    -0.69
    liner
    -0.68
    tern
    -0.67
    atown
    -0.66
     Raiders
    -0.65
    pictured
    -0.64
     Fargo
    -0.64
    POSITIVE LOGITS
     μg
    1.26
     μ
    1.18
     Hz
    1.17
     ±
    1.17
     mmol
    1.13
    μ
    1.12
     nm
    1.11
    ±
    1.11
     µ
    1.09
     mm
    1.09
    Activations Density 0.152%

    No Known Activations